0xc4c7…ff72
shares per-model data0xc4c73a7d18b9cb28bef11267f1321e14613cff72
first buy May 16, 2026 · last Aug 15, 2026Spent
$37.71
$45.00 deposited
Settles
314
95 channels · 6 sellers
Tokens consumed
411.11M
6.93k requests
Sellers used
6
distinct sellers
Activity over time
Daily settled USDC
Daily tokens consumed
Epoch volume
Epoch tokens
Rewards & stake
ANTS earned
0.00 ANTS
nothing earned in a closed epoch
Epoch 30 so far
0.00 ANTS
accruing · final when the epoch closes
Staked
0 ANTS
nothing staked
Before epoch 22: 1.04k ANTS claimed (old contract).
Settle history (314)
| Channel | Seller | Settled | Age |
|---|---|---|---|
| 0xb53e…9bea | NovaRoute AI | $0.01 | 88d ago |
| 0xb53e…9bea | NovaRoute AI | $0.06 | 88d ago |
| 0x8099…aabb | Venice.ai Proxy | $0.01 | 105d ago |
| 0x8099…aabb | Venice.ai Proxy | $0.03 | 106d ago |
| 0xbe15…e8f0 | Venice.ai Proxy | $0.04 | 106d ago |
| 0xbe15…e8f0 | Venice.ai Proxy | $0.04 | 106d ago |
| 0xbe15…e8f0 | Venice.ai Proxy | $0.47 | 106d ago |
| 0x734b…f461 | Venice.ai Proxy | $0.09 | 106d ago |
| 0x734b…f461 | Venice.ai Proxy | $0.58 | 106d ago |
| 0x734b…f461 | Venice.ai Proxy | $0.08 | 107d ago |
Sellers used (6)
How this buyer's spend is distributed across the sellers it uses.
Top seller 87%Top 3 99%1.3 effective of 6 sellersGini 0.77
| Seller | Spent↓ | Share | Settles |
|---|---|---|---|
| Venice.ai Proxy 0x1f22…18c9 | $32.74 | 283 | |
| Surplus-backed seller 0x0e49…8927 | $3.26 | 19 | |
| 💬 Banter 0x4122…e194 | $1.49 | 4 | |
| Dark Signal 0x4668…62f2 | $0.15 | 4 | |
| NovaRoute AI 0xc50d…ed7b | $0.07 | 2 | |
| antseed-lunar-gecko-f1ba 0xa79e…f1ba | $0.01 | 2 |
Seller mix
Model purchases (6)
What this buyer actually buys per model — it opts into sharing the per-model split on-chain.
| Model | Spent↓ | Share | Tokens | Sellers |
|---|---|---|---|---|
| $13.50 | 256.49M | 2 | ||
| $11.24 | 46.15M | 1 | ||
| $0.39 | 379.53k | 1 | ||
| $0.20 | 2.46M | 1 | ||
| $0.06 | 5.98M | 1 | ||
| $0.00 | 44.64k | 1 |
Purchase mix
Decoded from settlement metadata v2 (this buyer's own opt-in) — channel-cumulative, so opted-in channels contribute their full lifetime. Channels where the buyer chose not to share are excluded: every figure is a lower bound on its true totals.